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New Low-Radiation 3D Imaging Method Enhances Breast & Lung Cancer Diagnosis
Fraunhofer researchers are developing a hybrid X-ray and radar imaging system to diagnose cancer accurately while significantly reducing patient radiation exposure.
www.fraunhofer.de
© Fraunhofer EMI. Setting up for CT measurement of a breast surface phantom
Imaging methods are an essential part of medicine, used in everything from diagnosis and treatment to follow-up examinations. X-ray mammography dominates the field of early detection of breast cancer, providing rapid and accurate two-dimensional images. Three-dimensional computed tomography (CT) is used in cancer diagnosis, but because it involves high doses of radiation, it poses health risks of its own. While a person’s natural annual radiation exposure is about 2.1 millisieverts, a chest CT involves about three times as much. In the MultiMed project, which explores multimodal medical imaging in 3D, Fraunhofer researchers are developing a method that combines X-ray imaging and radar. It is not only expected to improve the accuracy and efficacy of diagnosing, monitoring and treating breast and lung cancer but also lighten the burden on patients.
© Fraunhofer MEVIS. Registered data set combining radar and X-ray data from the breast surface phantom Created with MeVisLab
Radar in medicine: an outsider with potential
Radar is established in many areas: Airports use it to monitor air traffic, and radar sensors are a part of automotive assistance systems. In medicine, however, this method has been more of an outsider so far. And yet, it too can supply three-dimensional images — without posing any health risks. Radar does have lower resolution, plus it cannot penetrate as deep when compared to other methods. But it provides material information that other processes cannot offer directly. Radar detects differences in electrical permittivity and conductivity, so it can be used to identify changes in tissue.
The challenge lies in combining the types of measurements taken by the two methods. The researchers are developing special ways of linking the imaging data from the two systems together. Called “co-registering,” this approach sets the radar and X-ray data in spatial relation to each other.
© Fraunhofer MEVIS. Visual representation of an imaging data set of the breast surface phantom as a CT data set Created with MeVisLab
To further enhance image quality and visualize interior areas of the body in three dimensions via radar, the researchers are working on new radar reconstruction algorithms. This will unlock sharper images and more detailed insight into tissue properties.
At the same time, X-ray CT reconstruction is also being optimized: Radar data is being incorporated into the X-ray reconstruction to produce a multimodal CT algorithm. This enhances the quality and level of detail of the CT images, reduces disruptive artifacts and lowers radiation exposure.
The research team has already developed initial imaging phantoms to test this method. Phantoms like these are artificial models that realistically simulate tissue structures, supplying suitable signals for radar and X-ray measurements.
© Fraunhofer MEVIS. Visual representation of an imaging data set of the breast surface phantom as a radar data set Created with MeVisLab
Goal: detect tissue changes early on, accurately and with low radiation
The three-year project is intended to result in a multimodal lab system. This testing and development environment will combine CT imaging using X-rays with radar imaging to provide more comprehensive and accurate analyses. “The new approach has the potential to detect tissue changes early on and with great accuracy — and with much less of a burden on patients than before,” says project manager Victoria Heusinger-Hess from the Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institut, EMI.
The Fraunhofer-Gesellschaft is funding the three-year research project. Under the leadership of Fraunhofer EMI, the Fraunhofer Institute for Digital Medicine MEVIS and the Fraunhofer Institute for High Frequency Physics and Radar Techniques FHR are also involved.
www.fraunhofer.com
Imaging methods are an essential part of medicine, used in everything from diagnosis and treatment to follow-up examinations. X-ray mammography dominates the field of early detection of breast cancer, providing rapid and accurate two-dimensional images. Three-dimensional computed tomography (CT) is used in cancer diagnosis, but because it involves high doses of radiation, it poses health risks of its own. While a person’s natural annual radiation exposure is about 2.1 millisieverts, a chest CT involves about three times as much. In the MultiMed project, which explores multimodal medical imaging in 3D, Fraunhofer researchers are developing a method that combines X-ray imaging and radar. It is not only expected to improve the accuracy and efficacy of diagnosing, monitoring and treating breast and lung cancer but also lighten the burden on patients.
© Fraunhofer MEVIS. Registered data set combining radar and X-ray data from the breast surface phantom Created with MeVisLab
Radar in medicine: an outsider with potential
Radar is established in many areas: Airports use it to monitor air traffic, and radar sensors are a part of automotive assistance systems. In medicine, however, this method has been more of an outsider so far. And yet, it too can supply three-dimensional images — without posing any health risks. Radar does have lower resolution, plus it cannot penetrate as deep when compared to other methods. But it provides material information that other processes cannot offer directly. Radar detects differences in electrical permittivity and conductivity, so it can be used to identify changes in tissue.
The challenge lies in combining the types of measurements taken by the two methods. The researchers are developing special ways of linking the imaging data from the two systems together. Called “co-registering,” this approach sets the radar and X-ray data in spatial relation to each other.
© Fraunhofer MEVIS. Visual representation of an imaging data set of the breast surface phantom as a CT data set Created with MeVisLab
To further enhance image quality and visualize interior areas of the body in three dimensions via radar, the researchers are working on new radar reconstruction algorithms. This will unlock sharper images and more detailed insight into tissue properties.
At the same time, X-ray CT reconstruction is also being optimized: Radar data is being incorporated into the X-ray reconstruction to produce a multimodal CT algorithm. This enhances the quality and level of detail of the CT images, reduces disruptive artifacts and lowers radiation exposure.
The research team has already developed initial imaging phantoms to test this method. Phantoms like these are artificial models that realistically simulate tissue structures, supplying suitable signals for radar and X-ray measurements.
© Fraunhofer MEVIS. Visual representation of an imaging data set of the breast surface phantom as a radar data set Created with MeVisLab
Goal: detect tissue changes early on, accurately and with low radiation
The three-year project is intended to result in a multimodal lab system. This testing and development environment will combine CT imaging using X-rays with radar imaging to provide more comprehensive and accurate analyses. “The new approach has the potential to detect tissue changes early on and with great accuracy — and with much less of a burden on patients than before,” says project manager Victoria Heusinger-Hess from the Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institut, EMI.
The Fraunhofer-Gesellschaft is funding the three-year research project. Under the leadership of Fraunhofer EMI, the Fraunhofer Institute for Digital Medicine MEVIS and the Fraunhofer Institute for High Frequency Physics and Radar Techniques FHR are also involved.
www.fraunhofer.com
